Viet Sang Nguyen

icon indicating a website link https://nvietsang.github.io icon indicating an email [email protected]

icon company Université de Lyon icon location Saint-Étienne icon location PhD Candidate in Applied Cryptography

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Loading embeddings

You can use gensim to load the .bin model: `from gensim.models import Word2Vec` `model = Word2Vec.load("vi.bin")` `model.wv['nhà']` Then, you will get the embedding vector of the word "nhà", in Vietnamese...